2020
High-throughput quantitative histology in systemic sclerosis skin disease using computer vision
Correia C, Mawe S, Lofgren S, Marangoni RG, Lee J, Saber R, Aren K, Cheng M, Teaw S, Hoffmann A, Goldberg I, Cowper SE, Khatri P, Hinchcliff M, Mahoney JM. High-throughput quantitative histology in systemic sclerosis skin disease using computer vision. Arthritis Research & Therapy 2020, 22: 48. PMID: 32171325, PMCID: PMC7071594, DOI: 10.1186/s13075-020-2127-0.Peer-Reviewed Original ResearchConceptsSystemic sclerosisFibrosis scoreQuantitative image featuresBiopsy scorePrimary cohortOutcome measuresSecondary cohortDiagnostic scoreSkin severity scoreSSc clinical trialsRodnan skin scoreLogistic regression modelsControl biopsiesRegression modelsSkin scoreSeverity scoreClinical hallmarkClinical trialsForearm biopsiesSSc skinBiopsy sectionsIndependent cohortPatient basisSSc biopsiesCollagen deposition
2003
Nephrogenic fibrosing dermopathy: the first 6 years
Cowper SE. Nephrogenic fibrosing dermopathy: the first 6 years. Current Opinion In Rheumatology 2003, 15: 785-790. PMID: 14569211, DOI: 10.1097/00002281-200311000-00017.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsNephrogenic fibrosing dermopathyRecent case reportsCase reportCutaneous fibrosing disorderYellow scleral plaquesDistinct clinical patternsDual immunohistochemical stainingAntiphospholipid antibodiesRenal insufficiencyClinical patternDual immunolabelingFibrosing disorderSystemic disordersClinical spectrumScleral plaquesDisease onsetEpidemiologic dataSpindle cellsImmunohistochemical stainingDisease triggersSkin conditionsDisease pathogenesisNormal skinRegistry projectDiagnostic tests